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Korean Advanced Ai Data Trainer Jobs (NOW HIRING)

Associated Builders and Contractors (ABC)

$55 - $110/hr

As an AI Data Trainer, you'll put your deep domain knowledge to work stress-testing and improving how advanced language models reason through real-world environmental engineering problems. From ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Training and competency development * Provide line management and leadership to members of the ... Provide leadership across advanced AI & Data domains: * Generative AI & LLM ecosystems (prompt ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Training and competency development * Provide line management and leadership to members of the ... Provide leadership across advanced AI & Data domains: * Generative AI & LLM ecosystems (prompt ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Training and competency development * Provide line management and leadership to members of the ... Provide leadership across advanced AI & Data domains: * Generative AI & LLM ecosystems (prompt ...

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How much do korean advanced ai data trainer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for korean advanced ai data trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is a Korean Advanced AI Data Trainer?

A Korean Advanced AI Data Trainer is a professional who helps train artificial intelligence systems by providing, labeling, and reviewing data in the Korean language. They ensure that AI models understand and process Korean accurately by curating high-quality datasets, correcting outputs, and giving detailed feedback. This role often involves tasks such as annotating text, evaluating AI responses, and improving language models for applications like chatbots, translation, or voice assistants. Advanced trainers typically possess strong linguistic skills and a deep understanding of both AI technology and the nuances of the Korean language.

What does a Korean Advanced AI Data Trainer do?

As a Korean Advanced AI Data Trainer, your daily responsibilities often involve annotating and curating data in Korean, reviewing machine-generated outputs for linguistic accuracy, and providing feedback to improve AI language models. You'll regularly collaborate with data scientists, engineers, and other language experts to discuss project requirements, resolve ambiguities, and ensure data quality standards are met. The role requires attention to detail, a strong understanding of Korean language nuances, and effective communication with both technical and non-technical team members.

What skills and qualifications are needed to be a Korean Advanced AI Data Trainer?

To excel as a Korean Advanced AI Data Trainer, you need advanced Korean language proficiency, strong analytical abilities, and a background in linguistics or data science. Familiarity with annotation platforms, data labeling tools, and machine learning systems is often required, along with relevant certifications or experience. Attention to detail, critical thinking, and effective communication are vital soft skills for ensuring data quality and collaborating with technical teams. These competencies are crucial for producing high-quality datasets that enable accurate AI model training and performance.

What is the difference between Korean Advanced Ai Data Trainer vs Korean Ai Data Annotator?

AspectKorean Advanced Ai Data TrainerKorean Ai Data Annotator
CredentialsTypically requires specialized training in AI, data science, or related fieldsUsually requires basic data annotation skills, often on-the-job training
Work EnvironmentCollaborates with AI development teams, often in tech companies or research labsWorks primarily on labeling and annotating data, often in a more isolated setting
Industry UsageUsed in AI model training, especially for language and speech processing in KoreanUsed for preparing datasets for AI models, including image, text, and speech annotation

The Korean Advanced Ai Data Trainer typically has more specialized skills and works closely with AI development teams to improve model performance. In contrast, the Korean Ai Data Annotator focuses on labeling data to create training datasets. Both roles are essential in AI development, but the trainer usually requires more advanced knowledge and responsibilities.

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Korean Advanced Ai Data Trainer jobs near you
Infographic showing various Korean Advanced Ai Data Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Environmental Engineering - AI Data Trainer

Associated Builders and Contractors (ABC)

Miami, FL • On-site

$55 - $110/hr

Other

Posted 6 days ago

Job description

Environmental Engineering – AI Data Trainer

About The Role

We're partnering with the world's leading AI research teams to build smarter, more technically rigorous AI models — and we need environmental engineers to help get there.

As an AI Data Trainer, you'll put your deep domain knowledge to work stress-testing and improving how advanced language models reason through real-world environmental engineering problems. From contaminant transport to hazardous waste remediation, your expertise will directly shape the reliability of AI systems used by engineers, researchers, and policymakers worldwide.

This is a fully remote, flexible contract role — work on your own schedule, on problems that matter.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Design Advanced Technical Problems — Create challenging environmental engineering scenarios spanning contaminant transport, mass balance in treatment plants, hydrology, Life Cycle Assessments (LCA), and more
  • Author Gold-Standard Solutions — Develop rigorous, step-by‑step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as benchmark responses for AI training
  • Audit AI Outputs — Critically evaluate AI-generated remediation plans, environmental impact statements, and technical calculations for accuracy, safety, and regulatory compliance (EPA, ISO 14001, and others)
  • Sharpen AI Reasoning — Identify where AI reasoning breaks down — incorrect stoichiometry, missed secondary impacts, flawed unit conversions — and provide structured feedback that directly improves model performance
Who You Are
  • Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field
  • Strong foundational knowledge in one or more core areas: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
  • Able to communicate complex technical and ecological concepts clearly and precisely in written form
  • Detail‑oriented — meticulous when it comes to unit conversions, chemical equations, and regulatory logic
  • Self‑motivated and comfortable working independently on technically demanding tasks
  • No prior AI experience required
Nice to Have
  • Experience with data annotation, data quality review, or evaluation systems
  • Familiarity with environmental modeling software (e.g., AERMOD, SWMM, or similar)
Why Join Us
  • Work on cutting‑edge AI projects alongside top AI research labs
  • Fully remote and flexible — work when and where it suits you
  • Freelance perks: autonomy, variety, and global collaboration
  • Get rare, hands‑on exposure to how large language models are trained and evaluated
  • Contribute to AI that could shape the future of environmental science and sustainability
  • Potential for ongoing work and contract extension
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